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Self-tuning fuzzy PID controller using online method in essential oil extraction process

Mohd Yusoff, Zakiah and Muhammad, Zuraida and Zainal Abidin, Amar Faiz and Abdul Aziz, Mohd Azri and Ismail, Nurlaila and Rahiman, Mohd Hezri Fazalul (2017) Self-tuning fuzzy PID controller using online method in essential oil extraction process. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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During the extraction process, the temperature plays the major effect on the quality and output yield.Numerous studies on this domain mention that excessive heat during the extraction process will degrade the quality of oil and produced poor output.Recently, researchers take efforts to fix this problem by develop intelligent control technique in order to regulate the temperature. This study proposed the self-tuning fuzzy PID (STFPID) controller using online method. The STFPID controller will regulate the steam temperature below 100OC where very little publication so far discussed on that range.The robustness of STFPID controller was test using load disturbance and set point tracking.The performance effectiveness was evaluated based on rise time, settling time, percent overshoot, and steady stare error.From the simulation result, the STFPID controller shows good performance in both transient and steady state dynamics.The STFPID controller also has the ability to track the set point change and curb the load disturbance.

Item Type: Conference or Workshop Item (Paper)
Additional Information: eISSN 2289-7402 e-ISBN 978-967-0910-33-8 Organized by: School of Computing, Universiti Utara Malaysia Sintok.
Uncontrolled Keywords: STFPID, online tuning, extraction process, robustness test
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 26 Jul 2017 08:27
Last Modified: 26 Jul 2017 08:27
URI: http://repo.uum.edu.my/id/eprint/22828

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